A New Biocryptosystem-Oriented Security Analysis Framework and Implementation of Multibiometric Cryptosystems Based on Decision Level Fusion

Cai Li, Jiankun Hu, Josef Pieprzyk, Willy Susilo

Research output: Contribution to journalArticlepeer-review

45 Citations (Scopus)

Abstract

Biometric cryptosystems provide an innovative solution for cryptographic key generation, encryption as well as biometric template protection. Besides high authentication accuracy, a good biometric cryptosystem is expected to protect biometric templates effectively, which requires that helper data does not reveal significant information about the templates. Previous works predominantly follow an appropriate entropy definition to measure the security of biometric cryptosystems. In this paper, we point out limitations of entropy-based security analysis and propose a new security analysis framework that combines information-theoretic approach with computational security. In addition, we construct a fingerprint-based multibiometric cryptosystem (MBC) using decision level fusion. Hash functions are employed in our construction to further protect each single biometric trait. The experimental results and security analysis demonstrate that the proposed MBC provides stronger security and better authentication accuracy compared with a cryptosystem based on single biometric.

Original languageEnglish
Article number7038136
Pages (from-to)1193-1206
Number of pages14
JournalIEEE Transactions on Information Forensics and Security
Volume10
Issue number6
DOIs
Publication statusPublished - 1 Jun 2015
Externally publishedYes

Keywords

  • authentication accuracy
  • Biometric cryptosystems
  • min-entropy
  • security
  • Shannon-entropy
  • template protection

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